AI Architecture & Fractional Leadership
Enterprise AI architecture, from people who have shipped it.
We embed with your team to settle the architecture and steer the roadmap — fractionally, so you can start in days rather than months.
Partners from IBM · Qlik · NetApp · Liberty Global
Built on Modern Foundations
Our Perspective
Most AI initiatives fail at the integration layer, not the model layer.
Choosing the model is the easy part. The hard work is everything around it: the data it reads, the workflows it touches, and the team that has to operate it at three in the morning.
That is where pilots stall. They demo beautifully in isolation, then meet constraints nobody scoped — latency budgets, access controls, cost per call, and the edge cases your business has always had.
We start there, not at the model.
“I kept meeting teams who had done everything right — good engineers, real budget, a working prototype — and still could not get the thing live. It is almost never the model. It is the handful of decisions around it that nobody senior was in the room to make.
That is the job. Not templates, not playbooks. Sitting with your team and making those calls.”
— Tomer Weiss, Founder. Previously product at IBM, Neustar, and Qlik.
What We Do
AI Product Strategy & Architecture
We turn business objectives into production-ready technical roadmaps. Defining use cases, selecting the right models, and designing architecture that scales.
Fractional CPO / CTO Leadership
Interim executive leadership to steer your product team. We manage the backlog, align stakeholders, and drive the velocity required to hit market windows.
Dual-Track Expertise
The Same Engineering Discipline, Applied Two Ways
Whether you are shipping a new product feature or automating a claims process, the underlying architecture problem is the same.
Speed, Scalability, Architecture
Tech Builders & Startups
RAG Pipelines
Move beyond generic chatbots to product features grounded in your own data.
Fractional CPO/CTO
Senior leadership to bridge the gap between Seed and Series B.
Local LLM Deployment
Run smaller, quantized models on your own infrastructure, so inference cost stops scaling with usage.
// For CTOs, founders, and product teams
Automation, Efficiency, Cost Reduction
Enterprise, Law & Operations
The Digital Workforce
Autonomous agents that handle claims, contracts, and support tickets around the clock.
Legacy Modernization
Unlock data trapped in PDFs and Excel sheets into searchable, actionable insights.
Risk & Compliance
Auditing tools that cover document sets no team could work through by hand.
For COOs, legal teams, and operations leaders
Same engineering rigor. Different application domains.
Sector Expertise
Transforming Operations Beyond High-Tech
The same architectural rigor, applied to sectors where the documents — not the models — are the hard part.
Legal & Finance
Drowning in Documents?
Automated contract review, regulatory compliance checks, and instant case-law retrieval.
Result
Contracts reviewed consistently, with nothing lost in the backlog.
Manufacturing & Logistics
Supply Chain Clarity.
Predictive inventory management, automated vendor communication agents, and operational reporting.
Result
Failures flagged before they stop the line.
Insurance & Real Estate
Faster Claims & Processing.
Automating claim assessments, property valuation analysis, and tenant support workflows.
Result
Claims triaged the moment they arrive.
Retail & Service
The Infinite Concierge.
Customer support agents that actually solve problems, not just deflect tickets.
Result
Issues resolved, not deflected.
How We Engage
Why This Work Is Delivered Fractionally
Day-1 Impact, Zero Ramp-Up
Skip the 6-month hiring cycle. We embed immediately with senior expertise that has already solved the problems you're facing today.
Executive Vision, Flexible Commitment
Get the strategic weight of a C-Level executive without the full-time headcount or equity dilution. Scale our involvement as your product evolves.
Bias for Action
We don't just advise, we architect. We bridge the gap between business goals and engineering reality to ensure your AI initiative actually ships.
The Team
Built by Veterans. Proven in the Field.
The Journal
Notes from the Field
Hard-won lessons on shipping AI to production — architecture, economics, and the judgment calls that separate a demo from a durable product.
What It Actually Means to Be an "AI Company" — And What You're Trading Away
Wiring up an API is the easy part. The real story — the thing that separates the companies that survive from the ones that quietly bleed out — is running AI without torching your token budget or getting trapped in endless development loops. Here's what "AI-based" really costs, and the trade-offs nobody puts in the pitch deck.
Tomer Weiss
July 2026
Tell Me... Do You Bleed Tokens? The AI Budget Crisis Hiding in Plain Sight
Despite falling token prices, enterprise AI bills are skyrocketing. Unoptimized workflows trapped in retry loops, context windows stuffed with company wikis, and flagship models doing the work of pocket calculators — this is the silent budget bleed finance teams are waking up to in 2026.
Tomer Weiss
May 2026
Your AI Isn't Smart, It's Just Too Polite: The Hidden Danger of Sycophantic Models
In 2026, everyone's excited about Vibe Coding. Tools like Claude Code, Cursor, and Lovable make everyone feel like wizards. But there's a hidden trap: AI models are trained to please you, not to tell you the truth. Here's why that's a problem.
Tomer Weiss
January 2026
Ready to Ship AI to Production?
Get a strategic assessment from senior AI product leaders. We'll identify your highest-impact opportunities and create a concrete roadmap.